{"id":"W2776187748","doi":"10.1177/1203475417720201","title":"Metastatic Melanoma in Sentinel Node–Negative Patients: The Ottawa Experience","year":2017,"lang":"en","type":"article","venue":"Journal of Cutaneous Medicine and Surgery","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Ottawa","funders":"Ottawa Hospital Research Institute; Cancer Research Institute","keywords":"Medicine; Melanoma; Sentinel lymph node; Sentinel node; Biopsy; Lymph node; Cancer; Metastatic melanoma; Wide local excision; Breslow Thickness; Retrospective cohort study; Oncology; Surgery; Dermatology; Internal medicine; Breast cancer","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005159771,0.0003377937,0.0002706267,0.000477283,0.001294724,0.0007902312,0.0005458245,0.0004779992,0.001453839],"category_scores_gemma":[0.001439407,0.0002759355,0.0003608557,0.0006921752,0.0008093868,0.000432708,0.0007340442,0.0004487686,0.0002261105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003472616,"about_ca_system_score_gemma":0.003134174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2984118,"about_ca_topic_score_gemma":0.5306048,"domain_scores_codex":[0.9994773,0.0001059194,0.00004726196,0.00009576249,0.0001300737,0.0001436446],"domain_scores_gemma":[0.9989665,0.0001078316,0.0002788303,0.00006325899,0.0001777148,0.0004060599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001756472,0.00006872856,0.9882324,0.00006082495,0.00004954007,0.002306855,0.001728409,0.00009675205,0.0004828108,0.0001184592,0.001037418,0.005642131],"study_design_scores_gemma":[0.00003810344,0.0004971623,0.9786611,0.0001989383,0.0001090144,0.00907592,0.004628915,0.0002541413,0.0002794483,0.0001546618,0.006038375,0.00006421864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952466,0.001548781,0.00006113942,0.0003546292,0.00002661517,0.00002333233,0.0002135928,0.000004330815,0.002521033],"genre_scores_gemma":[0.9979445,0.001166779,0.00008266103,0.0001315294,0.00001484778,0.00001080919,0.0001390175,0.000002785493,0.0005070647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2984118,"threshold_uncertainty_score":0.5933497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03036787538251895,"score_gpt":0.2906111659005029,"score_spread":0.2602432905179839,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}